Igor Krasovskiy's starred repositories

openai-cookbook

Examples and guides for using the OpenAI API

ivy

The Unified AI Framework

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tsfresh

Automatic extraction of relevant features from time series:

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darts

A python library for user-friendly forecasting and anomaly detection on time series.

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Best_AI_paper_2020

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

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MEDIUM_NoteBook

Repository containing notebooks of my posts on Medium

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cryptos

Pure Python from-scratch zero-dependency implementation of Bitcoin for educational purposes

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timeseries-clustering-vae

Variational Recurrent Autoencoder for timeseries clustering in pytorch

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fsdl-text-recognizer-2022-labs

Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022

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customer-lifetime-prediction-using-python

What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am sharing the customer lifetime value prediction using BG-NBD, Pareto, NBD & Gamma Model on top of RFM in Python.

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pytorch-ts

Tutorials on using encoder decoder architecture for time series forecasting

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Synthetic-data-gen

Various methods for generating synthetic data for data science and ML

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fedot-examples

The repository contains examples for the AutoML framework FEDOT

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ES_energy_Transformer

Python Darts deep forecasting models

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Temporal-fusion-transformer_Pytorch-Forecasting

Using Temporal Fusion Transformer for Book sales forecasting use case. We use the model implementation available in Pytorch Forecasting library.

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pycohort

create cohort visualizations for a subscription business

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arima-python-examples

ARIMA model Time Series Forecasting in python

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fsdl-text-recognizer-2022-labs

Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022

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pytorch-ts

Tutorials on using encoder decoder architecture for time series forecasting

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retentioneering-tools

Retentioneering: product analytics, data-driven customer journey map optimization, marketing analytics, web analytics, transaction analytics, graph visualization, and behavioral segmentation with customer segments in Python. Opensource analytics, predictive analytics over clickstream, sentiment analysis, AB tests, machine learning, and Monte Carlo Markov Chain simulations, extending Pandas, Networkx and sklearn.

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TFT_darts

probabilistic forecasting with Temporal Fusion Transformer

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timeseries-clustering-vae

Variational Recurrent Autoencoder for timeseries clustering in pytorch

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WebNotebookAPI-SpringBoot

It's my son's work!

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